AI monitoring in the workplace | Constangy, Brooks, Smith & Prophete, LLP

Organizations must manage AI dually, both internally to maintain trust and externally to secure systems from threats.
Clear distinction between various AI types is crucial for accurate risk assessment, control design, and regulatory compliance.
Legal and technical terminologies differ, affecting organizations’ transparency, disclosures, and liability allocations.
Within the organization, AI usage must avoid intrusive employee surveillance and manage confidential information leaks.
AI systems must maintain consumer trust by signaling usage and providing communication channels, while managing risks from AI vendors and services.
From an external perspective, AI systems need dedicated security strategies as potential attack surfaces, targeting AI misuse, data exposure, and insider risks.
Security leaders must address AI use by threat actors, AI system abuse, and data exposure in AI workflows.
Organizations should begin addressing AI governance immediately to balance internal trust and external security.

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